Director, Software Engineering – Data Operations and Support

Cambridge, MA

Are you passionate about integrating people and processes into a well functioning system? At Capital One, we are innovating a monitoring and support system for a new data technology stack. Do you enjoy solving complex problems in a fast-paced, collaborative, and iterative delivery environment? Capital One is completely reimagining our data ecosystem.  As our company, and the world around us, moves towards real-time data and automated AI-driven processes, the evolution of enterprise technology and the data ecosystem continues to be a top priority for Capital One. If you’re interested in leading our Data Operations and Support team read on!

As a Capital One Director of Data Operations and Support, you will be leading our data operations and support teams through our critical data transformation program.  As our company modernizes our data ecosystem and embraces cloud technology, this operations function is more critical than ever. Working across the many teams, you’ll be accountable for defining optimized operational processes and implementing strategies to quickly identify issues, root cause, and remediation steps.  If you thrive in a fast-paced environment, this is the place for you! We’re looking for someone who welcomes challenges, enjoys forging new paths, is skilled at creating optimized systems, and is focused on delivering exceptional results to internal business customers while partnering effectively in a team environment.

Responsibilities

You will have the opportunity to develop your technical knowledge and skills to keep your mind and our business on the cutting edge of technology while working alongside Directors, VP’s and various stakeholders. At Capital One, we have seas of big data and rivers of fast data…and we’re looking to build the next generation of operational support to ensure its success.

• Experience designing and running enterprise technology support systems utilizing technology, people and processes

• Strong people and team leadership skills, with an ability to build a highly performant team

• Proven ability to create effective training programs for technical support staff

• Familiarity with the latest trends in operational support, self healing architectures, and notification platforms

• Desire to lead our organization through an ever evolving technical and data support landscape

• Ability to understand technology and identify problem trends leading to improved service outcomes

• The ability to dig into details while maintaining a view of the big picture

• Strong communication skills — written and oral

• Ability to influence others across a large organization, gain consensus, and drive solutions to implementation

• Technical experience with RDMS, SQL, ETL, scripting, PagerDuty, EFK, ELF, Data Dog, and ServiceNow

• Ability to craft a vision, gain buy in from leadership, and see it through to fruition

• Excellent vendor management skills

Basic Qualifications

• Bachelor’s Degree

• At least 10 years of people leadership experience

• At least 5 years of leadership experience running enterprise technical support teams with a focus on operational excellence

• At least 10 years in software development

Preferred Qualifications

• Advanced Degree in Business, Computer Science, Engineering, or Management of Info Systems / Technology

• Experience with recognized industry patterns, methodologies, and techniques, especially related to data and support systems

• Experience with the full AWS stack

• Experience with big data technologies such as Redshift, S3 and Snowflake, Hadoop, Ab Initio, Hive, Python, or Spark

• Solid understanding of AWS technologies with a focus on data tools and services

• Background in agile development and Scaled Agile frameworks

• 5+ years of experience in financial or other highly regulated industry

Interested in applying to this career opportunity?

Please email Taylor Frank, [email protected], and include Director, Software Engineering – Data Operations and Support in the subject line.